Install
openclaw skills install @crawlora-org/brand-mention-researchBuild a sourced brand-mention and reputation brief from bounded Reddit, TikTok, and YouTube searches and comment samples through Crawlora. Use to resolve brand aliases, deduplicate mentions, compare discussion themes, or inspect a product issue with explicit sampling limits.
openclaw skills install @crawlora-org/brand-mention-researchSet CRAWLORA_API_KEY to your Crawlora key. Prefer the listed Crawlora MCP tools
when connected; otherwise use the bundled scripts/crawlora.sh, which sends
x-api-key to https://api.crawlora.net/api/v1. Read
reference/endpoints.md for exact methods and parameters.
Check application code as well as HTTP status; payloads are inside data.
Stop on authentication errors, back off on 429, and retry a transient upstream
failure once. Bound pages and calls by the requested scope and credit budget.
Preserve source IDs, URLs, retrieval times, and source dates where supplied.
Produce a bounded mention brief for a brand, product, or campaign. Define the entity and aliases, competitors when requested, date window, languages/markets, platforms, and page budget before collecting. Common names need corroborating product, domain, handle, or contextual evidence to avoid false matches.
time filter applies to top/comments sorts; do not claim sort=new time=week
enforces a week. TikTok has no date-filter argument here: filter returned dates
locally and mark unknown dates rather than inventing a backend filter. YouTube
uses its documented upload_date and locale/region fields.scripts/crawlora.sh /reddit/search q="Crawlora" sort=top time=month limit=25
scripts/crawlora.sh /tiktok/search keyword="Crawlora" count=10
scripts/crawlora.sh /youtube/search q="Crawlora" type=video upload_date=this_month
# Resolve returned IDs before requesting selected details/comments:
# scripts/crawlora.sh "/reddit/comments/$POST_ID" limit=25
Return a coverage ledger and evidence table with platform, source URL/ID, publication time if available, alias/query, short excerpt, theme, sentiment, and explicit selection reason. Show unique confirmed posts, excluded/ambiguous matches, sampled comments, and denominators for each reported proportion. Compare competitors only under equivalent windows and sampling budgets, and still describe unequal platform/search coverage. Do not sum follower counts or views into unique audience reach, infer market share from mention counts, or call a sampled issue widespread without corroborating evidence. Repeated runs need the same saved query/scope to support change claims. Do not contact authors, post responses, or schedule monitoring unless the user requests those actions.